software engineering practices , Neural Networks, Deep Learning, Tensorflow, Numpy, Pytorch, Python, Machine Learning Algorithms, Apis, Version Control, Devops, Pandas, Decision Trees, Keras, Agile Methodologies, Data Integration, statistical analysis techniques, GenAI, scikit-learn, time-series, ML Ops practices, validation methods, LLMs, Classification, Bayesian techniques, population-based meta-heuristic optimization methods, ensemble methods, Regression, Data and Cloud environments

Hadoop, Power Bi, Tableau, Clustering, Sql, Hive, Spark, Python, Regression, Classification

data quality assurance , Machine Learning, MLops, Python, GenAI, Fine-Tuning, Prompt Engineering, Large Language Models, Retrieval-Augmented Generation

software engineering practices , Tensorflow, Devops, Pandas, Deep Learning, Pytorch, Version Control, Neural Networks, Machine Learning Algorithms, Keras, Data Integration, Agile Methodologies, Decision Trees, Numpy, Python, Apis, scikit-learn, LLMs, Bayesian techniques, population-based meta-heuristic optimization methods, GenAI, ensemble methods, statistical analysis techniques, ML Ops practices, Regression, Classification, validation methods, time-series, Data and Cloud environments

Predictive Modelling, Sql, Python, large-scale data analysis, decisioning logic development, feature engineering

Python, R Programming, Sql